ValueError: Error when checking input: expected input_1 to have shape (None, 299, 299, 3) but got array with shape (32, 229, 229, 3)

这是代码的核心部分：

train_datagen = ImageDataGenerator()train_batches = train_datagen.flow_from_directory('../train/',                                 target_size=(229, 229))test_datagen = ImageDataGenerator()test_batches = test_datagen.flow_from_directory('../test/',                                 target_size=(229, 229))#model = keras.applications.InceptionV3(weights="imagenet")#clf_model.compile(optimizer='rmsprop',              loss='categorical_crossentropy',              metrics=['accuracy'])train_history = clf_model.fit_generator(train_batches,                    steps_per_epoch=train_batches.samples/train_batches.batch_size,                                         epochs=1,                                         validation_data = test_batches,                    validation_steps=test_batches.samples/test_batches.batch_size )

看起来是一个奇怪的错误。我看到其他人遇到的错误是这样的：

Error when checking input: expected input_1 to have shape (None, 10, 3) but got array with shape (1, 3, 10) 

或者

Error when checking input: expected input_1 to have shape (None, 10, 3) but got array with shape (1, 4, 16) 

然而，在我的错误中，形状看起来是正确的。 Keras抱怨形状不是None… 请帮助我，谢谢

回答：

你的输入形状不匹配：

train_datagen = ImageDataGenerator()train_batches = train_datagen.flow_from_directory('../train/',                             target_size=(229, 229))test_datagen = ImageDataGenerator()test_batches = test_datagen.flow_from_directory('../test/',                             target_size=(229, 229))

将train_batches和test_batches的target_size=(229,229)更改为target_size=(299,299)。